How to use /SCWM/PI_UPLOAD - Lagerplätze und Zähldaten hochladen


SAP Transaction Code - Details

  • Transaction Code: /SCWM/PI_UPLOAD

    Description: Lagerplätze und Zähldaten hochladen

    Release: S/4HANA only

    Menu Path:

    • Logistics > SCM Extended Warehouse Management > Extended Warehouse Management > Physical Inventory > Periodic Processing > Upload Storage Bins and Count Data
  • Show technical details Hide technical details
    • Program: /SCWM/R_PI_FILEUPLD

      Screen: 1000

      Authorization Object:

    • Development Package: /SCWM/PI_APPL

      Package Description: Physical Inventory - Function Package

      Parent Package: /SCWM/MAIN

    • Module/Component: SCM-EWM-PI

      Description: Physical Inventory


Smart SAP Assistant

  • SAP Tcode: /SCWM/PI_UPLOAD - Lagerplätze und Zähldaten hochladen
    
    Overview:
    The SAP transaction code /SCWM/PI_UPLOAD is used to upload storage bin and count data into the SAP system. This transaction code is part of the Warehouse Management (WM) module and is used to manage the storage and movement of goods within a warehouse. 
    
    Functionality: 
    This transaction code allows users to upload storage bin and count data into the SAP system. This data can be used to track the location of goods within a warehouse, as well as to monitor inventory levels. The uploaded data can also be used to generate reports and analyze trends in warehouse operations. 
    
    Step-by-step How to Use: 
    1. Enter the transaction code /SCWM/PI_UPLOAD into the command field. 
    2. Select the “Upload” button. 
    3. Select the file containing the storage bin and count data that you wish to upload. 
    4. Select the “Execute” button to begin uploading the data into the SAP system. 
    5. Once the upload is complete, select the “Back” button to return to the main menu. 
    
    Other Recommendations: 
    It is important to ensure that all uploaded data is accurate and up-to-date in order to ensure accurate reporting and analysis of warehouse operations. Additionally, it is recommended that users regularly review uploaded data for any discrepancies or errors that may have occurred during the upload process.
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